Hostname: page-component-74656f9884-c52kr Total loading time: 0 Render date: 2026-11-08T07:52:13.349Z Has data issue: false hasContentIssue false

Information and Self-Enforcing Democracy: The Role of International Election Observation

Published online by Cambridge University Press:  24 April 2014

Abstract

This article argues that when democracy is not yet institutionalized, leaders have little incentive to push for clean elections, in part because they are likely to face accusations of fraud from domestic opposition groups regardless of their true behavior. Reputable international election observers can facilitate self-enforcing democracy by providing credible information about the quality of elections, thus increasing citizens’ ability to coordinate against the regime when election fraud occurs, and discrediting “sore loser” protests. Patterns of postelection protests are consistent with the argument, including that postelection protests are more likely and last longer following negative reports from international observers. International election observers help promote democracy by making postelection protest more accurate in the short term, thereby increasing incentives for leaders to hold democratic elections in the long term.

Information

Type
Research Article
Copyright
Copyright © The IO Foundation 2014 
Figure 0

Figure 1. Pre-election concerns about fraud and the demand for election observation

Figure 1

Table 1. Election observation and uncertainty about election quality, 1992–2006

Figure 2

Figure 2. Rates of postelection protest, 1960–1991 and 1992–2006

Note: Difference of 5.9 percent is significant in difference of means test with equal variances (t = 2.63).
Figure 3

Figure 3. Rates of postelection protest, by negative reports, 1992–2006

Note: Difference of 22 percent is significant in difference of means test with equal variances (t = 6.81).
Figure 4

Figure 4. Rates of postelection protest by observer reports and whether fraud was anticipated, 1992–2006

Notes: When preelection concerns exist, the difference of 22.3 percent is significant in difference of means test with equal variances (t = 4.02). When there are no preelection concerns about fraud, the difference of 13.1 percent is significant in difference of means test with equal variances (t = 2.26).
Figure 5

Table 2. Postelection protest, 1992–2006, binary logit

Figure 6

Table 3. Postelection protest, 1992–2006, binary logit, alternative specifications

Figure 7

Figure 5. Predicted Probability of protest, 1992–2006

Figure 8

Table 4. Duration of postelection protest by international and domestic contestants’ verdicts